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The implement of all kinds of dqn reinforcement learning with Pytorch
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.